Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16FA39B33411935274437C6D530A55B3BE2A6DA4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:DWLz4NP/y9svbliCdebsO69iFtiuCa28y2O9:smAFsO69h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed129d6d9603 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
090d4b4bcd0c63f8 |
|
VISUAL
wHash
|
80e7f3290c0c3cff |
|
VISUAL
colorHash
|
39600030000 |
|
VISUAL
cropResistant
|
fefeffdfdffffefe,d400a08138388090,0d0d4b4b4bccdc61 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)